tetano
Editor, Senior Moderator
Vaccine
. 2024 Oct 29;42(26):126493.
doi: 10.1016/j.vaccine.2024.126493. Online ahead of print. Evaluation of test-negative design estimates of influenza vaccine effectiveness in the context of multiple, co-circulating, vaccine preventable respiratory viruses
Aleda M Leis[SUP] 1 [/SUP], Abram Wagner[SUP] 2 [/SUP], Brendan Flannery[SUP] 3 [/SUP], Jessie R Chung[SUP] 3 [/SUP], Arnold S Monto[SUP] 2 [/SUP], Emily T Martin[SUP] 2 [/SUP]
Affiliations
Test-negative design (TND) studies are cornerstones of vaccine effectiveness (VE) monitoring for influenza. The introduction of SARS-CoV-2 and RSV vaccines complicate the analysis of this design, with control selection restriction based on other pathogen diagnosis proposed as a solution. We conducted a simulation study and secondary analysis of 2017-18 and 2018-19 TND estimates from a Southeast Michigan ambulatory population to evaluate RSV-status-based control restriction. Simulations suggest that with vaccine-preventable RSV, influenza VE could be moderately biased with RSV prevalence ≥25 % of controls. Real-world analysis showed 151 influenza-negative adults (10.4 %) had RSV detected from the enrollment nasal swab. There were minimal differences in results of adjusted models with or without RSV exclusion from control groups. Findings suggest that inclusion of RSV cases in the control group of TND studies for influenza VE, particularly where RSV is not vaccine preventable, does not currently pose a major concern for bias in VE estimates.
Keywords: Bias; Test-negative design; Vaccine efficacy.
. 2024 Oct 29;42(26):126493.
doi: 10.1016/j.vaccine.2024.126493. Online ahead of print. Evaluation of test-negative design estimates of influenza vaccine effectiveness in the context of multiple, co-circulating, vaccine preventable respiratory viruses
Aleda M Leis[SUP] 1 [/SUP], Abram Wagner[SUP] 2 [/SUP], Brendan Flannery[SUP] 3 [/SUP], Jessie R Chung[SUP] 3 [/SUP], Arnold S Monto[SUP] 2 [/SUP], Emily T Martin[SUP] 2 [/SUP]
Affiliations
- PMID: 39476473
- DOI: 10.1016/j.vaccine.2024.126493
Test-negative design (TND) studies are cornerstones of vaccine effectiveness (VE) monitoring for influenza. The introduction of SARS-CoV-2 and RSV vaccines complicate the analysis of this design, with control selection restriction based on other pathogen diagnosis proposed as a solution. We conducted a simulation study and secondary analysis of 2017-18 and 2018-19 TND estimates from a Southeast Michigan ambulatory population to evaluate RSV-status-based control restriction. Simulations suggest that with vaccine-preventable RSV, influenza VE could be moderately biased with RSV prevalence ≥25 % of controls. Real-world analysis showed 151 influenza-negative adults (10.4 %) had RSV detected from the enrollment nasal swab. There were minimal differences in results of adjusted models with or without RSV exclusion from control groups. Findings suggest that inclusion of RSV cases in the control group of TND studies for influenza VE, particularly where RSV is not vaccine preventable, does not currently pose a major concern for bias in VE estimates.
Keywords: Bias; Test-negative design; Vaccine efficacy.